Papers by Branislav Bajat
Predicting Impacts of Lightning Strikes on Aviation under a Changing Climate Using Regression Kriging
AGUFM, Dec 1, 2016
Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia
Agriculture, Mar 27, 2023
The erosion potential model was applied to estimate the soil erosion status of rural settlements ... more The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.
His interests are on GIS, cadastre and land management. He is currently a Ph.D. candidate.
Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study
Techniques for evaluating similarities between categorical maps obtained by different spatial mod... more Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade's municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated
Journal of Big Data, May 31, 2023
This article describes a teaching strategy that synergizes computing and management, aimed at the... more This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related fields. The course derived from this strategy includes four parts: (a) Computing with a selected set of modern paradigms-the stress is on Control Flow and Data Flow computing paradigms, but paradigms conditionally referred to as Energy Flow and Diffusion Flow are also covered; (b) Project management that is holistic-the stress is on the wide plethora of issues spanning from the preparation of project proposals, all the way to incorporation activities to follow after the completion of a successful project; (c) Examples from past research and development experiences-the stress is on experiences of leading experts from academia and industry; (d) Student projects that stimulate creativity-the stress is on methods that educators could use to induce and accelerate the creativity of students in general. Finally, the article ends with selected pearls of wisdom that could be treated as suggestions for further elaboration.
This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accep... more This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and possibly some content differences between this version and the final published version.
Experimental Setup for Measuring Long-Term Behavior of Green Reinforced Concrete Beams
The behavior of reinforced concrete under long-term loading is an important topic when designing ... more The behavior of reinforced concrete under long-term loading is an important topic when designing concrete structures. Creep and shrinkage of concrete and long-term deflections of concrete structures, mainly reinforced concrete beams, have been studied for many decades but because of the long-term nature of these tests, existing experiments are relatively scarce. More importantly, there are significant challenges when carrying out these tests. These include achieving optimal beam design to ensure a realistic stress distribution with a developed cracked state, measuring deflections from self-weight, adequately measuring elastic deflections and strains, and instantaneously applying the imposed load. The problem is exacerbated with the advent of sustainable structural concretes containing recycled and waste materials—green concretes; they possess specific properties and experimental results for these concretes are even scarcer.
Journal of Big Data
This article presents a taxonomy and represents a repository of open problems in computing for nu... more This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasibility studies on nature-oriented engineering in general and civil engineering in particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based construction, earthquake engineering, and other types of geophysical disaster prevention activities, as well as the studies of processes and materials of interest for the above. In all these fields, problems are discussed that generate huge amounts of Big Data and are characterized with mathematically highly complex Iterative Algorithms. In the domain of applications, it has been stressed that problems could be made less computationally demanding if the number of computing iterations is made smaller (with the help of Artificial Intelligence or Conditional Al...
Journal of Big Data
This paper presents a transfer learning approach to the crop classification problem based on time... more This paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During preprocessing, cloudy images are removed from the input data, the time series are interpolated over the time dimension, and additional remote sensing indices are calculated. We chose TransformerEncoder as the base model for knowledge transfer from source to target domain with French and Serbian data, respectively. Even more, the accuracy of the base model with the preprocessing step is improved by 2% when trained and evaluated on the French dataset. The transfer learning approach with fine-tuning of the pre-trained weights on the French dataset outperformed all other methods in terms of overall accuracy 0.94 and mean class recall 0.907 on the Serbian dataset. Our partially fine-tuned model improved recall of crop types that were poorly classified by the base model. In t...
Journal of Geochemical Exploration, 2017
Prevailing climatic conditions and local topography can be classified as the most influential env... more Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In
Computers & Geosciences, 2018
An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creat... more An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction at multiple depths is presented. Modeling soil properties in 3D benefits from interactions of spatial predictors with soil depth and its polynomial expansion, which yields a large number of model variables (and corresponding model parameters). Lasso is able to perform variable selection, hence reducing the number of model parameters and making the model more easily interpretable. This also prevents overfitting, which makes the model more accurate. The presented approach was tested using four variable selection approaches-none, stepwise, lasso and hierarchical lasso, on four kinds of modelsstandard linear model, linear model with polynomial expansion of depth, linear model with inter
Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps)
Frontiers in Environmental Science
Soil organic carbon (SOC) is a vital component for sustainable agricultural production. This rese... more Soil organic carbon (SOC) is a vital component for sustainable agricultural production. This research investigates the transfer learning-based neural network model to improve classical machine learning estimation of SOC values from other geochemical and physical soil parameters. The results on datasets based on LUCAS data from 2015 showed that the Instance-based transfer learning model captured the valuable information contained in different source domains (cropland and grassland) of soil samples when estimating the SOC values in arable cropland areas. The effects of using transfer learning are more pronounced in the case of different source (grassland) and target (cropland) domains. Obtained results indicate that the transfer learning (TL) approach provides better or at least equal output results compared to the classical machine learning procedure. The proposed TL methodology could be used to generate a pedotransfer function (PTF) for target domains with described samples and unkn...
Various methods for the calculation of the terrain slope used in the gridded DTMs are presented i... more Various methods for the calculation of the terrain slope used in the gridded DTMs are presented in this work. Some of the results obtained from research based on the efficiency of the application of these methods are also reported.U radu su prikazane metode računanja nagiba terena koje se koriste u DMT koji imaju gridnu strukturu. Prikazani su neki rezultati dosadašnjih istraživanja u svetu na polju efikasnosti primene ovih metoda
Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps
Advances in Geographic Information Science, 2017
The latest applications of hedonic dwelling price models have included recent advances in spatial... more The latest applications of hedonic dwelling price models have included recent advances in spatial analysis that control for spatial dependence and heterogeneity. The study of spatial aspects of hedonic modelling pertains to spatial econometrics, which is relevant to this study because it clearly accounts for the influence and peculiarities related by space in real estate price modeling analysis.
Impact of precipitation and human activities on suspended sediment transport load in the Velika Morava River Basin (Serbia)
Arabian Journal of Geosciences
This document reports on the development of the first set of APOLLO training material within the ... more This document reports on the development of the first set of APOLLO training material within the context of the Task 6.2 Pilot training and execution. The current set of training material reflects the functionalities of APOLLO platform beta version and supports execution of beta phase of the pilots.
This document reports on the development of a detailed plan on APOLLO pilot execution and methodo... more This document reports on the development of a detailed plan on APOLLO pilot execution and methodology that will be followed in order to evaluate APOLLO platform. The methodology includes using evaluation criteria, namely user experience, user acceptance and benefits of using the APOLLO services that will be measured by a number of indicators. According to the adopted User Centered Design approach, the evaluation is a part of the development process aimed to ensure that the optimal final product ready for commercialization is delivered. Pilot will be executed in three phases: alpha, beta and pilot. The end users will be involved in trials and testing the platform in each of the phases while the platform itself will be gradually improved from one phase to the next according to the users' feedback and evaluation data. The report also defines the roles and responsibilities of the project partners, plan for training material design, ethical and legal issues and potential risks and mi...
Techniques for evaluating similarities between categorical maps obtained by different spatial mod... more Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade’s municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated.
Uploads
Papers by Branislav Bajat